Cinco motores de IA generativa, en hardware propio.

# 1. abrir sesión (nivel A1–C1; modo conversation | roleplay | grammar)
curl -s -X POST https://tutor.apicloud.lat/v1/sessions/start \
  -H 'Content-Type: application/json' \
  -d '{"level":"b1","mode":"roleplay","scenario":"job-interview"}'

# 2. conversar (usa el sessionId de la respuesta anterior)
curl -s -X POST https://tutor.apicloud.lat/v1/sessions/<SESSION_ID>/respond \
  -H 'Content-Type: application/json' \
  -d '{"text":"Good morning, thanks for seeing me."}'

# 3. ver escenarios disponibles
curl -s https://tutor.apicloud.lat/v1/scenarios

import requests

BASE = "https://tutor.apicloud.lat"

# 1. abrir sesión
s = requests.post(f"{BASE}/v1/sessions/start", json={
    "level": "b1",
    "mode": "roleplay",
    "scenario": "job-interview",
}).json()
sid = s["sessionId"]

# 2. conversar
r = requests.post(f"{BASE}/v1/sessions/{sid}/respond",
                  json={"text": "Good morning, thanks for seeing me."}).json()
print(r)

# 3. escenarios
print(requests.get(f"{BASE}/v1/scenarios").json())

const BASE = "https://tutor.apicloud.lat";
const json = { "Content-Type": "application/json" };

// 1. abrir sesión
const s = await (await fetch(`${BASE}/v1/sessions/start`, {
  method: "POST", headers: json,
  body: JSON.stringify({ level: "b1", mode: "roleplay", scenario: "job-interview" }),
})).json();

// 2. conversar
const r = await (await fetch(`${BASE}/v1/sessions/${s.sessionId}/respond`, {
  method: "POST", headers: json,
  body: JSON.stringify({ text: "Good morning, thanks for seeing me." }),
})).json();
console.log(r);

# 1. lanzar el trabajo -> devuelve un id
curl -s -X POST https://emoji.apicloud.lat/api/v1/jobs \
  -H 'Content-Type: application/json' \
  -d '{"prompt":"mascota robot simpática con antena azul",
       "style_id":"apple_3d",
       "variation_set_id":"minimal_5"}'

# 2. consultar el estado (repetir hasta que sea "completed")
curl -s https://emoji.apicloud.lat/api/v1/jobs/<JOB_ID>

# 3. descargar el pack en ZIP
curl -s -o pack.zip https://emoji.apicloud.lat/api/v1/jobs/<JOB_ID>/archive

import time, requests

BASE = "https://emoji.apicloud.lat/api/v1"

job = requests.post(f"{BASE}/jobs", json={
    "prompt": "mascota robot simpática con antena azul",
    "style_id": "apple_3d",
    "variation_set_id": "minimal_5",
}).json()

# la GPU genera de una en una: espera con paciencia, no en bucle cerrado
while True:
    st = requests.get(f"{BASE}/jobs/{job['id']}").json()
    if st["status"] in ("completed", "failed"):
        break
    time.sleep(15)

if st["status"] == "completed":
    zipped = requests.get(f"{BASE}/jobs/{job['id']}/archive").content
    open("pack.zip", "wb").write(zipped)

import { writeFile } from "node:fs/promises";

const BASE = "https://emoji.apicloud.lat/api/v1";

const job = await (await fetch(`${BASE}/jobs`, {
  method: "POST", headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    prompt: "mascota robot simpática con antena azul",
    style_id: "apple_3d", variation_set_id: "minimal_5",
  }),
})).json();

let st;
do {
  await new Promise(r => setTimeout(r, 15000));
  st = await (await fetch(`${BASE}/jobs/${job.id}`)).json();
} while (!["completed", "failed"].includes(st.status));

if (st.status === "completed") {
  const buf = await (await fetch(`${BASE}/jobs/${job.id}/archive`)).arrayBuffer();
  await writeFile("pack.zip", Buffer.from(buf));
}

# motores disponibles y su estado
curl -s https://estudio.apicloud.lat/v1/engines

# mejorar una idea suelta antes de generar
curl -s -X POST https://estudio.apicloud.lat/v1/enhance \
  -H 'Content-Type: application/json' \
  -d '{"idea":"gato astronauta","kind":"image"}'

# imagen (FLUX) — 256 a 1536 px
curl -s -X POST https://estudio.apicloud.lat/v1/generate/image \
  -H 'Content-Type: application/json' \
  -d '{"prompt":"póster de cine, neón, 4k","width":1024,"height":1024}'

# voz (Kokoro) — voces: ef_dora, em_alex, em_santa
curl -s -X POST https://estudio.apicloud.lat/v1/generate/voice \
  -H 'Content-Type: application/json' \
  -d '{"text":"Hola, esto es una prueba.","voice":"ef_dora"}'

import requests

BASE = "https://estudio.apicloud.lat"

# qué motores están cargados
print(requests.get(f"{BASE}/v1/engines").json())

# imagen (FLUX)
r = requests.post(f"{BASE}/v1/generate/image", json={
    "prompt": "póster de cine, neón, 4k",
    "width": 1024, "height": 1024,
}, timeout=600).json()          # la cola de GPU puede tardar

# la respuesta trae una ruta relativa: /media/<id>.png
img = requests.get(BASE + r["url"]).content
open("salida.png", "wb").write(img)

import { writeFile } from "node:fs/promises";

const BASE = "https://estudio.apicloud.lat";

console.log(await (await fetch(`${BASE}/v1/engines`)).json());

const r = await (await fetch(`${BASE}/v1/generate/image`, {
  method: "POST", headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ prompt: "póster de cine, neón, 4k", width: 1024, height: 1024 }),
})).json();

// r.url es relativa al propio servicio
const buf = await (await fetch(BASE + r.url)).arrayBuffer();
await writeFile("salida.png", Buffer.from(buf));

# el token se lee del equipo que hospeda el servicio
TOKEN={{TOKEN}}

# subir una foto -> devuelve la URL pública
curl -s -X POST https://media.apicloud.lat/v1/images \
  -H "Authorization: Bearer $TOKEN" \
  -F "file=@/ruta/a/foto.png"

# comprobar si una imagen ya estaba subida, por su hash
curl -s https://media.apicloud.lat/v1/images/<SHA256> \
  -H "Authorization: Bearer $TOKEN"

import hashlib, pathlib, requests

BASE  = "https://media.apicloud.lat"
TOKEN = {{TOKEN}}
H     = {"Authorization": f"Bearer {TOKEN}"}

foto = pathlib.Path("/ruta/a/foto.png")

# el nombre remoto es el hash del contenido: se puede preguntar antes de subir
sha = hashlib.sha256(foto.read_bytes()).hexdigest()
ya   = requests.get(f"{BASE}/v1/images/{sha}", headers=H)

if ya.status_code == 200:
    url = ya.json()["url"]
else:
    with foto.open("rb") as f:
        url = requests.post(f"{BASE}/v1/images", headers=H,
                            files={"file": f}).json()["url"]
print(url)

import { readFile } from "node:fs/promises";

const BASE  = "https://media.apicloud.lat";
const TOKEN = {{TOKEN}};

const bytes = await readFile("/ruta/a/foto.png");
const form  = new FormData();
form.append("file", new Blob([bytes]), "foto.png");

const r = await (await fetch(`${BASE}/v1/images`, {
  method: "POST",
  headers: { Authorization: `Bearer ${TOKEN}` },  // no fijes Content-Type con FormData
  body: form,
})).json();

console.log(r.url);